Application of formal methods in the design of a collaborative virus defense system

This article proposes an approach that allows us to study a mathematical model of a virus protection system at the stage of its design using statistical analysis of an executable model specification based on the formalism of Distributed Object Based Stochastic Hybrid Systems (DOBSHS). Important aspe...

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Main Authors: Raman E. Sharykin, Alexander N. Kourbatski
Format: Article
Language:Belarusian
Published: Belarusian State University 2020-03-01
Series: Журнал Белорусского государственного университета: Математика, информатика
Subjects:
Online Access:https://journals.bsu.by/index.php/mathematics/article/view/1102
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spelling doaj-51476cd45fc74bd08fbc617201b6240f2020-11-25T03:01:47ZbelBelarusian State University Журнал Белорусского государственного университета: Математика, информатика 2520-65082617-39562020-03-011596910.33581/2520-6508-2020-1-59-691102Application of formal methods in the design of a collaborative virus defense systemRaman E. Sharykin0Alexander N. Kourbatski1Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus This article proposes an approach that allows us to study a mathematical model of a virus protection system at the stage of its design using statistical analysis of an executable model specification based on the formalism of Distributed Object Based Stochastic Hybrid Systems (DOBSHS). Important aspects of the model are its distributed and probabilistic nature. These aspects make the model more difficult to carry out attacks, but at the same time significantly complicate the understanding of its properties by the developer. In this example, we show how, using the specification of the system as a DOBSHS model, coupled with its statistical analysis, we can investigate its properties at an early stage of design and how, using this approach, we can detect «defects» of the model and correct them during the process of creating the model.https://journals.bsu.by/index.php/mathematics/article/view/1102mathematical modelinghybrid systemsstochastic systemsmodel specificationcollaborative worm defense
collection DOAJ
language Belarusian
format Article
sources DOAJ
author Raman E. Sharykin
Alexander N. Kourbatski
spellingShingle Raman E. Sharykin
Alexander N. Kourbatski
Application of formal methods in the design of a collaborative virus defense system
Журнал Белорусского государственного университета: Математика, информатика
mathematical modeling
hybrid systems
stochastic systems
model specification
collaborative worm defense
author_facet Raman E. Sharykin
Alexander N. Kourbatski
author_sort Raman E. Sharykin
title Application of formal methods in the design of a collaborative virus defense system
title_short Application of formal methods in the design of a collaborative virus defense system
title_full Application of formal methods in the design of a collaborative virus defense system
title_fullStr Application of formal methods in the design of a collaborative virus defense system
title_full_unstemmed Application of formal methods in the design of a collaborative virus defense system
title_sort application of formal methods in the design of a collaborative virus defense system
publisher Belarusian State University
series Журнал Белорусского государственного университета: Математика, информатика
issn 2520-6508
2617-3956
publishDate 2020-03-01
description This article proposes an approach that allows us to study a mathematical model of a virus protection system at the stage of its design using statistical analysis of an executable model specification based on the formalism of Distributed Object Based Stochastic Hybrid Systems (DOBSHS). Important aspects of the model are its distributed and probabilistic nature. These aspects make the model more difficult to carry out attacks, but at the same time significantly complicate the understanding of its properties by the developer. In this example, we show how, using the specification of the system as a DOBSHS model, coupled with its statistical analysis, we can investigate its properties at an early stage of design and how, using this approach, we can detect «defects» of the model and correct them during the process of creating the model.
topic mathematical modeling
hybrid systems
stochastic systems
model specification
collaborative worm defense
url https://journals.bsu.by/index.php/mathematics/article/view/1102
work_keys_str_mv AT ramanesharykin applicationofformalmethodsinthedesignofacollaborativevirusdefensesystem
AT alexandernkourbatski applicationofformalmethodsinthedesignofacollaborativevirusdefensesystem
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